RapidET: a MEMS-based platform for label-free and rapid demarcation of tumors from normal breast biopsy tissues

RapidET:一种基于MEMS的平台,用于无标记、快速地将肿瘤与正常乳腺活检组织区分开来

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Abstract

The rapid and label-free diagnosis of malignancies in ex vivo breast biopsy tissues has significant utility in pathology laboratories and operating rooms. We report a MEMS-based platform integrated with microchips that performs phenotyping of breast biopsy tissues using electrothermal sensing. The microchip, fabricated on a silicon substrate, incorporates a platinum microheater, interdigitated electrodes (IDEs), and resistance temperature detectors (RTDs) as on-chip sensing elements. The microchips are integrated onto the platform using a slide-fit contact enabling quick replacement for biological measurements. The bulk resistivity (ρ (B) ), surface resistivity (ρ (S) ), and thermal conductivity (k) of deparaffinized and formalin-fixed paired tumor and adjacent normal breast biopsy samples from N = 8 patients were measured. For formalin-fixed samples, the mean ρ (B) for tumors showed a statistically significant fold change of 4.42 (P = 0.014) when the tissue was heated from 25 °C to 37 °C compared to the adjacent normal tissue, which showed a fold change of 3.47. The mean ρ (S) measurements also showed a similar trend. The mean k of the formalin-fixed tumor tissues was 0.309 ± 0.02 W m(-1) K(-1) compared to a significantly higher k of 0.563 ± 0.028 W m(-1) K(-1) for the adjacent normal tissues. A similar trend was observed in ρ (B,) ρ (S,) and k for the deparaffinized tissue samples. An analysis of a combination of ρ (B) , ρ (S) , and k using Fisher's combined probability test and linear regression suggests the advantage of using all three parameters simultaneously for distinguishing tumors from adjacent normal tissues with higher statistical significance.

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